
KernSmooth
 Referenced in 1018 articles
[sw04586]
 sets without the imposition of a parametric model. The main goal of this book...

survival
 Referenced in 201 articles
[sw04364]
 descriptive statistics, twosample tests, parametric accelerated failure models, Cox model. Delayed entry (truncation) allowed ... models; interval censoring for parametric models. Casecohort designs...

bootlib
 Referenced in 461 articles
[sw40642]
 with single samples from parametric and nonparametric models. Chapter 3 extends the basic ideas...

System Identification Toolbox
 Referenced in 179 articles
[sw05686]
 supported. These include the use of nonparametric, subspacebased, and predictionerror algorithms coupled ... either MIMO state space or MISO polynomial model structures. A key feature of the software ... models, the use of nonstandard model parametrizations, and the employment of Expectation Maximization...

GMRFLib
 Referenced in 338 articles
[sw06641]
 data, spatiotemporal models, graphical models, and semiparametric statistics. With so many applications ... GMRFs in complex hierarchical models, in which statistical inference is only possible using Markov Chain...

np
 Referenced in 103 articles
[sw10543]
 specification tests for parametric mean regression models and parametric quantile regression models, among others...

quantreg
 Referenced in 162 articles
[sw04356]
 nonlinear parametric and nonparametric (total variation penalized) models for conditional quantiles of a univariate...

Church
 Referenced in 55 articles
[sw08946]
 processes. Church is based on the Lisp model of lambda calculus, containing a pure Lisp ... simple description of many complex nonparametric models. We illustrate language features through several examples ... planning by inference, and various nonparametric clustering models. Finally, we show how to implement...

SemiPar
 Referenced in 761 articles
[sw07116]
 viewed as a relatively simple extension of parametric regression and treat the two together. They ... based on penalized regression splines and mixed models. Every model in this book...

CONTSID
 Referenced in 37 articles
[sw14945]
 testing and evaluating these databased modelling techniques. The CONTSID toolbox was first released ... identifying linear dynamic continuoustime parametric models from measured input/output sampled data; it provides transfer...

multcomp
 Referenced in 36 articles
[sw10485]
 intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects...

BEEM
 Referenced in 30 articles
[sw09815]
 benchmark set includes more than 50 parametrized models (300 concrete instances) together with their correctness...

frailtypack
 Referenced in 44 articles
[sw06070]
 frailtypack: General Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation ... also a parametric estimation. 1) A shared gamma frailty model and Cox proportional hazard model...

party
 Referenced in 28 articles
[sw07330]
 regression models into a well defined theory of conditional inference procedures. This nonparametric class ... algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression...

flexsurv
 Referenced in 20 articles
[sw15470]
 Survival and MultiState Models. Flexible parametric models for timetoevent data, including ... Parmar spline model, generalized gamma and generalized F distributions. Any userdefined parametric distribution ... fitting and predicting from fully parametric multistate models...

DPpackage
 Referenced in 72 articles
[sw10495]
 requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against...

spdep
 Referenced in 39 articles
[sw04578]
 unweighted SAR and CAR spatial regression models, semiparametric and Moran eigenvector spatial filtering...

MatchIt
 Referenced in 17 articles
[sw10538]
 King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching ... hardtojustify, but commonly made, statistical modeling assumptions. The software also easily fits into ... with MatchIt, researchers can use whatever parametric model they would have used without MatchIt...

lmtest
 Referenced in 19 articles
[sw04478]
 some generic tools for inference in parametric models are provided...

Rhinoceros
 Referenced in 19 articles
[sw07518]
 toolpath generation directly in Rhino. Like many modeling applications, Rhino also features a scripting language ... avantgarde architects are using parametric modeling tools, like Grasshopper. Rhino’s increasing popularity...